Job Description:
Position Description:
Designs, develops, and implements end-to-end (E2E) Machine Learning (ML) solutions on Cloud and traditional infrastructure technologies. Provides expertise during the expansion of Artificial Intelligence/ Machine Learning (AI/ML) transformation initiatives and ongoing Cloud migrations. Generates visualization dashboards using Tableau or Angular. Builds Continuous Integration and Continuous Deployment (CI/CD) pipelines to deploy code into production. Drives development and implementation efforts to support expanded automated solution discovery and detection efforts.
Primary Responsibilities:
- Provides ML solutions for data-driven and actionable insights to enable objective informed decisions.
- Maintains technical infrastructure to remain compliant with updates.
- Collaborates with vendors to evaluate machine learning models.
- Tests technical solutions in the production environment to ensure optimal function.
- Develops new solutions in cloud-native scalable architecture.
- Possesses a unique blend of academic and domain specific knowledge in data science, AI/ML technologies, and application development.
- Communicates revenue or cost saving benefits to senior leadership.
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Education and Experience:
Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Modeler (or closely related occupation) building data science applications from inception to production at scale using Python, advanced analytics, statistics, and ML and Deep Learning (DL) techniques.
Or, alternatively, Master's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Data Modeler (or closely related occupation) building data science applications from inception to production at scale using Python, advanced analytics, statistics, and ML and Deep Learning (DL) techniques.
Skills and Knowledge:
Candidate must also possess:
- Demonstrated Expertise ("DE") coordinating with business, product, and engineering stakeholder teams to analyze institutional clients' business requirements - converting requirements to ML/AI solutions and assessing the impact of ML/AI solutions using experimentation design.
- DE driving analytics and ML initiatives - collaborating in the implementation and deployment of major advanced analytics and ML based projects within a financial services environment; and owning and implementing advanced analytics and ML based projects -ideation, implementation, and providing guidance, training, and thought leadership - within a financial services environment.
- DE designing and developing scalable and secure in-house solutions using Cloud technologies (EC2, AWS Sagemaker, Amazon Elastic Kubernetes Service, S3, and Jenkins pipelines) according to standard security practices, distributed architectural requirements, and fine-grain access controls.
- DE performing data collation using SQL; performing data manipulation, exploration, analysis, visualization, and reporting using Python; driving purchasing decisions by testing and evaluating data science vendor products using Python; and presenting findings to management using Python, Tableau, and PowerPoint presentations.
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Certifications:
Company Overview
Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients' money.
Join Us
At Fidelity, you'll find endless opportunities to build a meaningful career that positively impacts peoples' lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees' Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don't need a finance background to succeed at Fidelity-we offer a range of opportunities for learning so you can build the career you've always imagined.
Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite all business days of every other week in a Fidelity office.
At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, detailed in this document, and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.
We invite you to Find Your Fidelity at fidelitycareers.com.
Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.
Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to accommodations@fmr.com.